C. L. Ho
- Data-driven track geometry fault localisation using unsupervised machine learning. Dans: Construction and Building Materials, v. 377 (mai 2023). (2023):
- Big-data driven assessment of railway track and maintenance efficiency using Artificial Neural Networks. Dans: Construction and Building Materials, v. 349 (septembre 2022). (2022):
- Rigorous landslide hazard zonation using Newmark's method and stochastic ground motion simulation. Dans: Soil Dynamics and Earthquake Engineering, v. 18, n. 4 (juin 1999). (1999):
- Reduction factor for liquefaction potential analysis. Dans: Soil Dynamics and Earthquake Engineering, v. 9, n. 6 (novembre 1990). (1990):
- Benchmarking railway vibrations – Track, vehicle, ground and building effects. Dans: Construction and Building Materials, v. 92 (septembre 2015). (2015):
- Use of seismic surface wave testing to assess track substructure condition. Dans: Construction and Building Materials, v. 155 (novembre 2017). (2017):